The proteolysis-inducing factor: in search of its clinical relevance in patients with metastatic gastric/esophageal cancer
Bibliographic record
Abstract
The proteolysis-inducing factor is a putative mediator of cancer-associated weight loss. The goal of this study was to examine for the first time: (i) its prevalence in patients with metastatic gastric/esophageal cancer; and (ii) whether it possibly correlated with weight loss and anorexia and whether it predicted tumor response and patient survival. This study recruited 41 patients as part of a phase II therapeutic, chemotherapy protocol for patients with metastatic gastric/esophageal cancer. Patient eligibility criteria were designed to select a group of patients who would tolerate treatment with the drugs capecitabine and oxaliplatin. Urine for assaying the proteolysis-inducing factor was obtained at registration and then 6 weeks later. Patients completed the FACT-E questionnaire every 6 weeks and had their weights checked at the same interval. Patients were followed prospectively for tumor response and patient survival. Twenty-three (56%) patients had the proteolysis-inducing factor in their urine at registration, and 18 (64%) had it at 6 weeks. There was no statistically significant correlation between the presence of the proteolysis-inducing factor and weight loss or between its presence and anorexia. Moreover, there was no evidence that the presence of the proteolysis-inducing factor in urine was able to predict tumor response or patient survival. The proteolysis-inducing factor in urine does not appear to be tied to weight loss, anorexia, tumor response, or patient survival in the clinical setting of metastatic gastric/esophageal cancer.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".